Triple

T37818620
Position Surface form Disambiguated ID Type / Status
Subject Warner Springs area E942844 entity
Predicate contains P35 FINISHED
Object Warner Springs Ranch
Warner Springs Ranch is a historic resort and ranch property in the Warner Springs area of San Diego County, California, known for its natural hot springs, equestrian activities, and rural retreat setting.
E2246900 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Warner Springs Ranch | Statement: [Warner Springs area, contains, Warner Springs Ranch]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Warner Springs Ranch
Triple: [Warner Springs area, contains, Warner Springs Ranch]
Generated description
Warner Springs Ranch is a historic resort and ranch property in the Warner Springs area of San Diego County, California, known for its natural hot springs, equestrian activities, and rural retreat setting.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f76ee987588190906506e759be5db3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbb1c27b88819088212b1ef7b02161 completed May 6, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41041470c4819092a7d29c3a85f333 completed June 28, 2026, 11:23 a.m.
NEDg Description generation batch_6a4104e29abc8190826d9ac7d1dbe4c9 completed June 28, 2026, 11:26 a.m.
NED2 Entity disambiguation (via description) batch_6a4106277e448190bf31165fd8f64020 completed June 28, 2026, 11:31 a.m.
Created at: May 3, 2026, 4:19 p.m.